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Senior Product Manager - Data Products

Jobgether

seniorpermanentproduct-management United States Today via LinkedIn
133,450 - 157,000 CAD/annual

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Tags

Product ManagementData ProductsAIMachine LearningSaaSRoadmappingProduct StrategyCustomer InsightsMeasurement & KPIsStakeholder Management

About the role

Role overview

Senior Product Manager – Data Products will define the strategy and roadmap for data-powered products and help transform a large data ecosystem into differentiated customer experiences. The role sits at the intersection of product management, AI/ML, and data science, focusing on engagement, retention, and long-term growth.

Responsibilities

  • Lead vision, strategy, and execution for data-driven product initiatives with technical and business partners.
  • Own the roadmap for advanced data capabilities (e.g., benchmarks, longitudinal insights, cross-survey intelligence).
  • Identify opportunities where large-scale data assets create meaningful customer value and support business growth.
  • Define product strategies leveraging data, AI, and machine learning to deliver differentiated experiences.
  • Partner with AI/ML engineers, data scientists, designers, and cross-functional stakeholders to scope, prioritize, and launch features.
  • Create frameworks and measurement strategies to evaluate product impact, retention, and expansion.
  • Translate complex data opportunities into clear product requirements, priorities, and execution plans.
  • Balance customer needs, technical feasibility, and business objectives in product decisions.
  • Champion customer-focused innovation to improve how users interact with data-driven insights.

Requirements

  • 5+ years of product management experience, including building data-driven and/or AI-powered products.
  • Strong product judgment: translate complex data capabilities into valuable customer experiences.
  • Experience working in ambiguous/foundational product areas where strategy and roadmaps must be defined.
  • Collaboration experience with engineering, data science, and machine learning teams.
  • Experience in SaaS environments where data is a core part of the product value proposition.
  • Ability to influence cross-functional teams and communicate with both technical and non-technical stakeholders.
  • Analytical mindset using data and customer insights to guide decisions.
  • Strong ownership and curiosity; passion for solving complex customer problems.

Benefits

  • Competitive base salary: CAD $133,450 – $157,000/year (depends on location, experience, and qualifications).
  • Potential bonus opportunities.
  • Comprehensive medical/dental/vision/life/disability insurance.
  • RRSP matching, flexible spending / health savings account options, paid holidays and PTO, employee assistance and wellness resources.

Scraped 7/30/2026